Sidecar is the only solution proven to boost performance, reliability, security and safety. Sidecar provides the most robust generative AI security so enterprises can leverage safe and effective AI solutions across their business. Now any enterprise can confidently deploy generative AI tools that ensure outcomes, increase user safety, and ensure compliance.
AutoAlign.ai's answer:
Enterprise Organizations: Healthcare, finance, insurance, manufacturing and education. Compliance Teams, Developers and AI Practitioners
AutoAlign.ai's answer:
AutoAlign allows businesses to harness generative AIโs power in the most safe and secure way. To accomplish this task, the company completely rethought how to approach AI security that continually evolves at AIโs hyper-speed.
To ensure LLMs are still able to remain powerful, but with the ability for enterprises to control their output, AutoAlign created Sidecar โ the first dynamic AI firewall system. Sidecar protects business from LLM hallucinations, prompt Injections, jail breaks, unethical content, and more โ all without taking away generative AIโs potential.
AutoAlign.ai's answer:
Leveraging the 40+ years of AI expertise split between AutoAlignโs co-founders โ Dan Adamson and Rahm Hafiz โ the company designs solutions that provide the most robust generative AI security. Now any enterprise can confidently deploy generative AI tools that strengthen business goals, user safety, and compliance requirement.
AutoAlign.ai's answer:
AI, Generative AI and Large Language Models
Based on our record, LLMOps.Space seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
MlOps is not just a hyped term,its a thing actually. I am a Mlops engineer working in a big firm setting up Mlops infrastructure pf clients.Machine learning is not only about training models and deploying them to get predictions.There are lot of problems which occurs in the models post production. As time passes,model do age as well the distribution of data on which the model is trained changes (data drift)... Source: about 2 years ago
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